刚刚,Google Brain 高级研究科学家 Barret Zoph 发帖表示,他们设计了一个名叫「Switch Transformer」的简化稀疏架构,可以将语言模型的参数量扩展至 1.6 万亿(GPT-3 是 1750 亿)。在计算资源相同的情况下,Switch Transformer 的训练速度可以达到 T5 模型的 4-7 倍。 在深度 ...
众所周知,参数量是机器学习算法的关键。在大规模参数量和数据集的支持下,简单的体系结构将远远超过复杂的算法。 在自然语言领域,被称为史上最强NLP的GPT-3拥有1750亿参数。近日,Google将这一参数量直接拉高到了1.6万亿。 1月11日,Google在arXiv上发表论文 ...
A recently granted patent (Publication Number: US11777412B2) describes a switching power supply apparatus that includes a switching circuit and an even number of transformers. The switching circuit ...
Report Ocean publicize new report on the global Transformers For Switching Power Supplies market. The global Transformers For Switching Power Supplies market report contains numerous information about ...
New York, March 07, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Switch Mode Power Supply Transformers Global Market Report 2023 ...
Dublin, Aug. 26, 2020 (GLOBE NEWSWIRE) -- The "Global Switch Mode Power Supply Transformers Market By Type (AC to DC, DC to DC, DC to AC and AC to DC), By End User (Consumer Electronics, ...